This group is all about applying the cool technologies of machine learning to quant-based stock trading. We bring together hands-on machine learning practitioners, quantitative-oriented fund managers and traders, and those wanting to learn about this exciting new application area of machine learning. Our core goals are education, networking and collaboration. Where's the technology at? Come along and find out!
What is 'Quantitative Trading?
Quantitative Trading (QT) consists of trading strategies which rely on mathematical computations and number crunching to identify trading opportunities. The objective of trading is to calculate the optimal probability of executing a profitable trade.
Quantitative traders take advantage of modern technology and the availability of comprehensive databases for making rational trading decisions that outperform the market. In this group, our focus is on applying mature and emerging machine learning algorithms to discovering and guiding QT-based investment and trading decisions.
What is Machine Learning?
Machine Learning (ML) is a type of artificial intelligence that provides computers with the ability to learn without being explicitly programmed. Machine learning focuses on the development of computer programs that can change when exposed to new data. Whereas humans can only find patterns in two or three variables at a time, ML can extract meaning buried deep within the thousands of descriptive parameters available for listed companies.